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Effective Distribution of Large Scale Situated Agent-based Simulations

Omar Rihawi 1 Yann Secq 1 Philippe Mathieu 1
1 SMAC - Systèmes Multi-Agents et Comportements
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : Agent-based simulations have increasing needs in computational and memory resources when the the number of agents and interactions grows. In this paper, we are concerned with the simulation of large scale situated multi-agent systems (MAS). To be able to simulate several thousands or even a million of agents, it becomes necessary to distribute the load on a computer network. This distribution can be done in several ways and this paper presents two specific distributions: the first one is based on environment and the second one is based on agents. We illustrates the pros and cons of using both distribution types with two classical MAS applications: prey-predator and flocking behaviour models.
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https://hal.inria.fr/hal-01115950
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Submitted on : Thursday, February 12, 2015 - 10:58:38 AM
Last modification on : Friday, December 11, 2020 - 6:44:02 PM

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Omar Rihawi, Yann Secq, Philippe Mathieu. Effective Distribution of Large Scale Situated Agent-based Simulations. ICAART 2014 6th International Conference on Agents and Artificial Intelligence, Stephane Loiseau, Joaquim Filipe, Béatrice Duval, Jaap van den Herik, Mar 2014, LOIRE, France. pp.312-319, ⟨10.5220/0004756903120319⟩. ⟨hal-01115950⟩

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